Inhaled <scp>l</scp> -Arginine Improves Exhaled Nitric Oxide and Pulmonary Function in Patients with Cystic Fibrosis
Bibliographic record
Abstract
RATIONALE: Nitric oxide formation is deficient in airways of patients with cystic fibrosis (CF). Since nitric oxide has bronchodilatory effects, nitric oxide deficiency may contribute to airway obstruction in CF. OBJECTIVES: We reasoned that inhalation of l-arginine, the precursor of enzymatic nitric oxide formation, could improve airway nitric oxide formation and pulmonary function in patients with CF. MEASUREMENTS: Exhaled nitric oxide, pulmonary function, and peripheral oxygen saturation were measured before and after a single inhalation of nebulized l-arginine solution in patients with CF and in healthy subjects. A saline solution of similar osmolarity (1.7%) was used as control. RESULTS: Nebulized l-arginine not only significantly increased exhaled nitric oxide concentrations but also resulted in a sustained improvement of FEV(1) in patients with CF. Oxygen saturation also increased significantly after the inhalation of l-arginine. Nebulized saline resulted in a small but significant increase in exhaled nitric oxide but a decrease in FEV(1) in patients with CF. In control subjects inhalation of l-arginine increased exhaled nitric oxide concentrations, but FEV(1) decreased. No effect of saline on exhaled nitric oxide, pulmonary function, or oxygen saturation was observed in healthy subjects. CONCLUSIONS: These data suggest that a single inhalation of l-arginine acutely and transiently improves pulmonary function in CF through the formation of nitric oxide. Augmentation of airway nitric oxide formation by inhalation of l-arginine is a promising therapeutic approach in patients with CF.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".